Jiduo Zhang

About

Education

The University of Manchester
United Kingdom of Great Britain and Northern Ireland

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The University of Manchester
United Kingdom of Great Britain and Northern Ireland

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Northwestern Polytechnical University
China

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Northwestern Polytechnical University
China

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RWTH Aachen
Germany

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Publications

EBPC: a deep learning cloud computing framework for hybrid stack drilling monitoring

Published by

Journal of Intelligent Manufacturing

Summary

journal-article

Knot-TPP: A Unified Deep Learning Model for Process Incidence and Tool Wear Monitoring in Stacked Drilling

Published by

Journal of Manufacturing and Materials Processing

Summary

journal-article

Knot-TPP: A Unified Deep Learning Model for Process Incidence and Tool Wear Monitoring in Stacked Drilling

Published by

Journal of Manufacturing and Materials Processing

Summary

journal-article

Knot-TPP: A Unified Deep Learning Model for Process Incidence and Tool Wear Monitoring in Stacked Drilling

Published by

Journal of Manufacturing and Materials Processing

Summary

journal-article

Minimum sufficient signal condition of identifying process incidence in stacked drilling through deep learning

Published by

Mechanical Systems and Signal Processing

Summary

journal-article

Minimum sufficient signal condition of identifying process incidence in stacked drilling through deep learning

Published by

Mechanical Systems and Signal Processing

Summary

journal-article

Intelligent machining of CFRP composites via data-driven prediction and optimization: Advances, challenges and future prospects

Summary

preprint

Process incidence monitoring in material identification during drilling stacked structures using support vector machine

Published by

The International Journal of Advanced Manufacturing Technology

Summary

journal-article

Process incidence monitoring in material identification during drilling stacked structures using support vector machine

Published by

International Journal of Advanced Manufacturing Technology

Summary

journal-article

Process incidence monitoring in material identification during drilling stacked structures using support vector machine

Published by

The International Journal of Advanced Manufacturing Technology

Summary

journal-article

In-process tool incidence identification based on temporal pyramid pooling and convolutional neural network

Published by

Procedia CIRP

Summary

conference-paper

In-process tool incidence identification based on temporal pyramid pooling and convolutional neural network

Published by

Procedia CIRP

Summary

journal-article

Minimum Sufficient Signal Condition of Identifying Process Incidence in Stacked Drilling Through Deep Learning

Published by

SSRN

Summary

other

IN-PROCESS PROCESS INCIDENCE IDENTIFICATION IN DRILLING OF AEROSPACE STACKS

Published by

Proceedings of International Conference on Computers and Industrial Engineering, CIE

Summary

conference-paper

Enhancing cutting tool sustainability based on remaining useful life prediction

Published by

Journal of Cleaner Production

Summary

journal-article

In-process tool condition forecasting based on a deep learning method

Published by

Robotics and Computer-Integrated Manufacturing

Summary

journal-article

In-process tool condition monitoring based on convolution neural network,基于卷积神经网络的刀具磨损在线监测

Published by

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

Summary

journal-article

Non-linear Wiener process–based cutting tool remaining useful life prediction considering measurement variability

Published by

International Journal of Advanced Manufacturing Technology

Summary

journal-article

Digital twin model for cutting tools in machining process,面向切削过程的刀具数字孪生模型

Published by

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

Summary

journal-article